performance of a novel decentralised sewage treatment reactor
Clicks: 147
ID: 221721
2013
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
147 views
18 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #136 of 215 articles by views in british journal of psychology (london, england : 1953)
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 215 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
A novel decentralised sewage treatment reactor (DSTR) for treating domestic sewage in rural areas was designed and investigated. The reactor was started aerobically after inoculation with biomass; the amount of initial mixed liquid suspended solids was 1.5 g/L. Oxygen was supplied to the reactor and the dissolved oxygen concentration was maintained at 1.3 ± 0.2 mg/L. The pollutant removal performance was investigated, and the average removal efficiencies of total chemical oxygen demand (TCOD), NH4+-N, suspended solids, and turbidity were 76%, 77.15%, 84.17%, and 83.93%, respectively. The DSTR exhibited good performance compared with the traditional activated sludge (AS) reactor. The resistance to impact load of the DSTR was superior to that of the AS reactor during surface load experiments. During the 120 days of operation, no sludge bulking was observed. The DSTR effluent NH4+-N and TCOD levels were a little higher than those for the AS reactor, but the disparity was not major.
| Reference Key |
shen2013journalperformance
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Dong Sheng Shen;Bao Cheng Huang;Hua Jun Feng;Bo Zhao;Jiang Ming Zhao;Hai Yang Zhang;Pei-Qing Liu |
| Journal | british journal of psychology (london, england : 1953) |
| Year | 2013 |
| DOI |
10.1155/2013/437147
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.